Filter by category

Filter by type

Director of Applied Data Science
at causaLens

go back to Manager Jobs
  • London
  • fulltime
  • -
  • Summary

    We are looking for a motivated and high-achieving Director of Applied Data Science based in London to join the team on our vision to optimise every business on the planet. This is a full-time placement with significant opportunities for personal development.

    We offer an intellectually stimulating environment, work within an interdisciplinary team and an inclusive culture. We are a high-calibre, mission-driven team building a technology that improves our world.

     

    Roles and Responsibilities

    This is an exciting role for a smart, creative person with a strong technical background and to lead our Applied Data Science function. You work will include:

    • Leading the implementation of research prototypes that go into the product
    • Leading the relationship with existing customers
    • Leading and coordinating the execution of Proof of Concepts and Pilots
    • Transforming customer feedback to product ideas
    • Drive customer success outcomes (upsell, renewals etc) from a technical point of view
    • Define and Optimize Customer Lifecycle from onboarding to renewals
    • Coordinating Customer Support Activities

     

    Job Requirements

    • Strong academic record (MEng, MSci, EngD or PhD)
    • Quantitative Experience in Finance 
    • An excellent written and verbal communicator with a high level of business acumen
    • Highly capable, self-motivated, collaborative and personable
    • High integrity and drive
    • Naturally curious and effective problem solver
    • Ability to effectively work independently in a fast-moving environment

     

    The Company

    causaLens is pioneering Causal AI, a new category of intelligent machines that understand cause and effect - a major step towards true AI. Its enterprise platform is used to transform leading businesses in Finance, IoT, Energy, Telecommunications and others.

    Current machine learning approaches, including AutoML solutions, have severe limitations when applied to real world business problems and fail to unlock the true potential of AI for the enterprise. For instance, in the case of predictions, they severely overfit and do not adapt when the environment changes. causaLens’ Causal AI Platform goes beyond predictions, providing transparent causal insights and suggesting actions that directly improve business KPIs.

    causaLens is run by scientists and engineers, the majority holding a PhD in a quantitative field. Contact us on info@causaLens.com or follow us on LinkedIn and Twitter.

    We are committed to addressing the diversity problem in the tech industry, and that starts with making sure we have a team where everyone feels at home and can contribute as a peer.

     

    causaLens in the News

     

    Benefits

    • The opportunity to join a fast-growing, agile, and international team passionate about innovation and making a difference
    • Competitive remuneration
    • Share option scheme
    • Pension scheme
    • 32 days paid holiday allowance (incl. bank holidays)
    • Equipment you need to get the job done (MacBook Pro etc.)
    • Good work-life balance
    • Opportunities for continued learning and self-development, including courses, conferences and book budget
    • Flexible work-from-home and remote days
    • Cycle to work scheme
    • Weekly journal club and knowledge sharing presentations
    • Regular team outings, pizza Thursdays and annual company retreats
    • Fruits, snacks and soft drinks in the office
    • Amazing, smart, fun and inspiring colleagues, always there to support your ideas, growth and enthusiasm

     

    Logistics

    Our interview process consists of screening interviews and a "Day 0" which is spent with the team. Normally the Day 0 takes place on-site but for the time being, they will take place online.

    We will do our best to transparently communicate the process with successful candidates.

    You need to be logged in to apply. Login or create an account.
    Is this job ad fake? Report it!   


    other jobs at causaLens

    fulltime Data Scientist - Applied Science at causaLens in London
    02-09-2019
    fulltime Business Problem Solver (Jared) at causaLens in London
    06-09-2019
    fulltime Growth Analyst at causaLens in London
    26-09-2019
    fulltime Frontend Engineer at causaLens in London
    14-11-2019
    fulltime Research Scientist - Causality Expert at causaLens in London
    14-11-2019
    fulltime Quantitative Researcher at causaLens in London
    15-11-2019
    fulltime Director Engineering at causaLens in London
    01-05-2020
    fulltime Research Scientist - Machine Learning at causaLens in London
    20-05-2020
    fulltime Machine Learning Engineer at causaLens in London
    13-08-2020
    fulltime Product Manager at causaLens in London
    06-10-2020
    fulltime Principal Investigator at causaLens in London
    06-10-2020
    fulltime Director of Causality and Blue Sky Research at causaLens in London
    06-10-2020
    fulltime Talent Acquisition Lead at causaLens in London
    13-11-2020
    fulltime Director, People and Talent at causaLens in London
    02-12-2020
    fulltime Marketing Director at causaLens in London
    02-12-2020
    fulltime Account Executive at causaLens in London
    02-12-2020
    fulltime Market Development Director at causaLens in London
    02-12-2020
    fulltime Backend Engineer at causaLens in London
    10-12-2020
    fulltime Full Stack Engineer at causaLens in London
    10-12-2020
    fulltime Quantitative Research Director - Big Data at causaLens in London
    10-12-2020
    fulltime Office Manager / Operations Assistant at causaLens in London
    08-01-2021